metadata
license: mit
datasets:
- Raiff1982/Nexus-signal-engine
language:
- en
base_model:
- Raiff1982/CodetteV5
Nexis Signal Engine
Author: Jonathan Harrison (a.k.a. Raiff1982)
License: MIT
Version: 1.0.0
Repository: GitHub
Hugging Face Space: nexus-signal-engine
🔍 Overview
The Nexis Signal Engine is a production-grade AI analysis framework designed for:
- Ethical signal profiling
- Entropy detection
- Adversarial input resilience
- Multi-perspective reasoning
- Secure memory with audit trails
It integrates natural language lemmatization, fuzzy matching, FFT-based harmony profiling, and multiple ethical reasoning lenses (utilitarian, deontological, virtue, systems).
🧠 Key Features
- 🧭 Ethical Risk Scoring: Uses configurable fuzzy-matched terms to detect intent, corruption risk, and ethical misalignment.
- 🔁 Perspective Agents: Includes Colleen (vector), Luke (entropy), and Kellyanne (harmonics) to simulate multi-agent cognition.
- 🔐 Integrity-Sealed Memory: SQLite + FTS5 + per-record salted SHA-256 integrity checks + rotation + pruning.
- 🔍 Resonance Equation: Applies FFT over alphabetic patterns to derive harmonic volatility.
- 🛡️ Adaptive Intervention: Flags and reframes high-risk signals in real-time.
- 📈 Built-In Metrics: Tracks average processing time and internal error rates.
- 🧪 Comprehensive Unit Tests: >30 robust tests for edge cases, adversarial tokens, and DB state.
🛠 Installation
To install locally:
pip install .